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Solution Architect

/ Solution Architect
  • Solution Architect

    Lablup Inc. develops Backend.AI and relatives for diverse machine learning researchers, DevOps, and developers who want to commercialize machine learning products. In addition, we are working to expand machine learning technology and develop use-cases by building deep learning models. We are looking forward to joining with us to develop Backend.AI and other projects.

  • Qualifications


    • BS degree in Computer Science, similar technical field of study or equivalent practical experience
    • Software development experience in one or more general purpose programming languages
    • Technical Research Personnel(Active Duty / Recruit Service) are Applicable


    • Skilled in DevOps platform
    • Comfortable with Opensource development methodology
    • Experience with one or more general purpose programming languages including but not limited to: C/C++, Python, JavaScript, or Go
    • Experience in establishing container and VM based cluster
    • Expertise in Network infrastructure (switch, router, load balancer, private network, etc.)
    • Experience or ability to write one or more deep learning framework based model code which is surpassing the tutorial level
    • Understanding and writing a technical documentation in English
    • Ability to distinguish the opinion of customers, technical problem of the solution or problem of user environment, etc. by feedback from customers.
    • Ability to derive technical requirement from feedback of the customer
    • Ability to find out the second best way to resolve it faster, in case of amount of time required.
  • Responsibilities
    • Understand features of Backend.AI based cluster solution and take a role in explaining pros/cons and implementation design consulting to clients.
    • Understand features of deep learning based MLOps platform and guide platform application examples and instructions.
    • Design and paticipate in the development if there is a part that requires development through out consulting with clients.
    • Implement proper features by need of the platform, and merge into upstream.
    • Write technical documentation in charge of introduction of feature and technology description by its need
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